Machine learning enabled industrial iot security: Challenges, trends and solutions
C Ni, SC Li - Journal of Industrial Information Integration, 2024 - Elsevier
Abstract Introduction: The increasingly integrated Industrial IoT (IIoT) with industrial systems
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …
avenues have emerged. However, the existing industrial architectures are still inefficient to …
A snapshot ensemble deep neural network model for attack detection in industrial internet of things
In the past few years, the Industrial Internet of Things (IIoT) started to emerge in different
industry sectors. IIoT connects different physical equipment and systems in order to operate …
industry sectors. IIoT connects different physical equipment and systems in order to operate …
[HTML][HTML] Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
An explainable efficient flow-based Industrial IoT intrusion detection system
MM Alani - Computers and Electrical Engineering, 2023 - Elsevier
With the steady growth in the adoption of IoT in an industrial context, security challenges
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
Voting-based ensemble learning approach for cyber attacks detection in Industrial Internet of Things
Abstract The Industrial Internet of Things (IIoT) is a fast developing interconnection of smart
technologies that have revolutionised the way the industries work by combining sensors and …
technologies that have revolutionised the way the industries work by combining sensors and …
A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
With the rapid advancement of wireless technology, the problem of cybersecurity monitoring
and detection of cyber-attacks has been receiving widespread attention from industry and …
and detection of cyber-attacks has been receiving widespread attention from industry and …
[HTML][HTML] Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning
In an increasingly technology-driven world, the security of Internet-of-Things systems has
become a top priority. This article presents a study on the implementation of security …
become a top priority. This article presents a study on the implementation of security …
[HTML][HTML] Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges
The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …
and processes, particularly on Industrial Control Systems (ICS). These systems are …